Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Human visual characteristic compressive sensing-based grayscale image tampering and detection method

A technology of human visual characteristics and compressed sensing, which is applied in the field of image processing and can solve problems such as limiting the performance of compressed sensing applications.

Active Publication Date: 2012-06-20
SHANGHAI JIAO TONG UNIV
View PDF3 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, compressed sensing is a non-adaptive processing method, and it is necessary to select different sparse bases, measurement matrices and reconstruction schemes according to different scenarios in specific applications, which limits the application performance of compressed sensing to a large extent; at the same time, due to human Visual perception characteristics, how to maximize the use of limited resources to areas sensitive to human perception is also an important way to improve the performance of the solution

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Human visual characteristic compressive sensing-based grayscale image tampering and detection method
  • Human visual characteristic compressive sensing-based grayscale image tampering and detection method
  • Human visual characteristic compressive sensing-based grayscale image tampering and detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0093] This example uses a Bird grayscale image with a size of 512×512, denoted as X∈R N×N , where N=512.

[0094] In the first step, a region-of-interest map of the image is generated. Specifically, the DCT transformation gene of the image is standardized to further highlight the salient regions of the image.

[0095] First, P=sign(C(X)) obtains the saliency map Map by the following three steps.

[0096] F=abs(C -1 (P))

[0097] Map = G * F 2 a 2 + b 2

[0098] where C() and C -1 () represent the two-dimensional DCT transform and its inverse transform of the image respectively, sign() is a sign function, abs() is an absolute value function, and G is a two-dimensional Gaussian low-pass filter. The elements in the saliency map Map are denoted as Map i (1≤i≤n).

[0099] Then, we divi...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a human visual characteristic compressive sensing-based grayscale image tampering and detection method, which comprises the following steps of: (1) generation and transmission of a watermark of an image: prior to the transmission of the image, a sending terminal firstly generates a Hash value of the image by using a human visual characteristic compressive sensing-based sparse base change and measurement matrix, then, transmits the Hash value through a secure channel, and transmits the image to a receiving terminal through a public channel; (2) image detection of the receiving terminal: the receiving terminal verifies whether the image obtained from the public channel is tampered or not by using the watermark of the image received from a trusted channel; and (3) tamper localization of the receiving terminal: after the condition that the received image is maliciously tampered is judged by the receiving terminal, a compressive sensing orthogonal matching pursuit reconstruction method is further used for restoring a difference value D, and therefore, an image E of a tampered position is obtained. Compared with the prior art, the human visual characteristic compressive sensing-based grayscale image tampering and detection method has the advantages of high rate in detection, low quantity in transmission, fastness in computation and the like.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a grayscale image tampering detection method based on compressed perception of human visual characteristics. Background technique [0002] Image tampering detection is a copyright protection technology for digital products. Its core idea is: to embed some identification information (that is, digital watermark) directly into digital carriers (such as multimedia, documents, software, etc.) or indirect representations of digital media (such as modifying the structure of a specific area), without affecting the use of the original carrier The value is not easy to be detected and modified again, but it can be identified and identified by the producer. Through the information hidden in the carrier, the purpose of confirming content creators, buyers, transmitting secret information, or judging whether the carrier has been tampered with can be achieved. Digital watermarking is ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06T1/00H04N7/24H04N7/26H04N19/154
Inventor 张爱新丁霄云李建华李生红
Owner SHANGHAI JIAO TONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com